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Ade Kurniawan
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Prodi Fisika Fakultas Sains dan Teknologi UIN Sunan Kalijaga Jl. Marsda Adisucipto No. 1 Yogyakarta
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Sunan Kalijaga Journal of Physics
Published by Universitas Islam Negeri Sunan Kalijaga Yogyakarta
ISSN : -     EISSN : 27150402     DOI : doi.org/10.14421
Core Subject : Science, Education, Engineering,
Earth & Planetary Sciences Education Electrical & Electronics Engineering Materials Science & Nanotechnology Physics
Sunan Kalijaga Journal of Physics (SKJP) is peer-reviewed journal published twice a year by the Department of Physics, Faculty of Science and Technology, Universitas Islam Negeri (UIN) Sunan Kalijaga Yogyakarta-Indonesia. SKJP publishes original research articles on all the major, also the branches of physics disciplines and related interdisciplinary areas, be it fundamental or applied. The journal will cover theoretical, computational as well as experimental research. The scope of the journal covers the following topics: • Acoustics • Atomic and molecular physics • Biological physics and nanoscience • Chemical physics • Condensed matter physics • Fluids and plasmas • Geophysics • Instruments and instrumentation • Lasers, optics and photonics • Materials physics • Mathematical physics • Medical Physics • Nanoscience & nanotechnology • Nonlinear science • Nuclear Physics and Cosmology • Particle and high energy physics • Physics of complex systems • Quantum information • Quantum physics • Statistical physics.
Arjuna Subject : Fisika dan Astronomi - Fisika dan Astronomi (Lain-Lain)
Articles 55 Documents
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Design and Implementation of a Weather Monitoring System Base on IoT Blynk Display and Solar Panel : Perancangan dan Implementasi Sistem Pemantauan Cuaca Berbasis IoT dengan Tampilan Blynk dan Panel Surya Widayanti; Fajarrohman, Ashadi
Sunan Kalijaga Journal of Physics Vol. 6 No. 2 (2024): Sunan Kalijaga Journal of Physics
Publisher : Prodi Fisika Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/physics.v6i2.5209

Abstract

In order to support precision agriculture, this project intends to design, develop, and test a weather monitoring system based on the ESP32 microcontroller coupled with solar panel and an Internet of Things (IoT) -based display via Blynk. Blender was used to model the system, while Fritzing was used to produce the circuit diagrams. It uses the appropriate sensors to measure temperature, humidity, rainfall, and wind speed. Performance testing revealed repeatability precision values of 98,97%, 89,22%, 95,27%, and 9,19%, respectively, and accuracy levels of 99,76% (temperature), 99,48% (humidity), 98,41% (rainfall), and 89,83% (wind speed). The findings show limitations in the accuracy of wind speed measurement but show good performance for the majority of metrics. Weather-based agricultural decision-making can be improved by this method, especially in isolated locations without adequate monitoring infrastructure.
Subsurface Structure Analysis for Determining the Slip Surface of Landslides Using the Wenner Resistivity Geoelectrical Method in Kokap, Kulon Progo: Analisis Struktur Bawah Permukaan untuk Penentuan Bidang Geser Longsor Menggunakan Metode Geolistrik Resistivitas Wenner di Kokap, Kulon Progo Prihatin, Rezal; Fikri Niyartama, Thaqibul
Sunan Kalijaga Journal of Physics Vol. 7 No. 1 (2025): Sunan Kalijaga Journal of Physics
Publisher : Prodi Fisika Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/physics.v7i1.5637

Abstract

Slope failures frequently occur in hilly regions, particularly during periods of intense rainfall. At the end of 2022, such an event affected a residential area in Hargomulyo Village, Kulon Progo. Mitigation efforts against similar hazards can be implemented through mapping of landslide-prone zones, one of which involves identifying the rock layers that act as the slip surface. This study employs the geoelectrical resistivity method with a Wenner configuration to characterize the subsurface structure based on variations in electrical resistivity of soil and rock. Data acquisition was conducted along four survey lines located within an andesitic intrusion formation composed of hypersthene–andesite to trachyandesite rocks. The modeling results indicate three main layers: surface soil with resistivity values below 54.4 Ωm, clay mixed with weathered andesite ranging from 54.4 Ωm to 141 Ωm, and intact andesite bedrock exceeding 141 Ωm. Correlation with the Geological Map of Yogyakarta Sheet (Rahardjo et al., 1995) confirms that the potential slip surface corresponds to the weathered andesite–clay zone developed along the contact between the Andesite Intrusion and the Kebobutak Formation. This transition layer, acting as a mechanically weak zone, controls slope stability in the study area. The presence of a local north–south fault may further increase groundwater infiltration and pore pressure above the impermeable andesite layer, promoting slope movement during heavy rainfall. These results emphasize that integrating resistivity interpretation with geological mapping provides a more comprehensive understanding of landslide mechanisms and supports hazard mitigation efforts in andesitic terrains of Kulon Progo.
Physiographic Study of Java Island Based on EMAG2 v3 Data: Studi Fisiografi Pulau Jawa Berdasarkan Data EMAG2 v3 Yuniantari, Thava; Fikri Niyartama, Thaqibul; Zakaria, Muhammad Faizal; Rosyida, Hana
Sunan Kalijaga Journal of Physics Vol. 7 No. 1 (2025): Sunan Kalijaga Journal of Physics
Publisher : Prodi Fisika Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/physics.v7i1.5638

Abstract

This study aims to analyze the physiography of Java Island based on the Earth Magnetic Anomaly Grid version 3 (EMAG2 v3) satellite data. The EMAG2 v3 dataset represents a global magnetic anomaly compilation acquired from satellite measurements provided by the National Oceanic and Atmospheric Administration (NOAA). The magnetic method, a geophysical technique that utilizes variations in the Earth’s magnetic field anomalies, was employed to delineate subsurface geological structures. The datasets used include administrative maps, regional geological maps, physiographic maps, and magnetic anomaly maps derived from EMAG2 v3 processing. Data processing was performed using the Geosoft Oasis Montaj software to generate the magnetic anomaly map of Java Island. The results indicate that the magnetic anomaly values across Java Island range from −300 nT to 450 nT, showing spatial variations among different physiographic zones. The northern part of Java exhibits low to moderate magnetic anomalies that correlate with alluvial deposits and young sedimentary formations, while the southern part displays moderate to high anomalies, reflecting the presence of volcanic rocks and intrusive bodies. This analysis demonstrates a strong correlation between magnetic anomaly variations and the lithological as well as structural characteristics of each physiographic zone. Therefore, EMAG2 v3 data can be effectively utilized to comprehensively interpret the regional geological framework of Java Island.
Analysis of Rock Magnetic Susceptibility in a Local Fault Zone at Sangkrek, Kulon Progo Regency Muaffi, Nadzif; Fikri Niyartama, Thaqibul; Budi Wibowo, Nugoho; Rosyida, Hana
Sunan Kalijaga Journal of Physics Vol. 7 No. 1 (2025): Sunan Kalijaga Journal of Physics
Publisher : Prodi Fisika Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/physics.v7i1.5639

Abstract

This study aims to analyze the pattern of magnetic anomaly distribution and determine the rock magnetic susceptibility values as a basis for identifying a local fault zone in the Dusun Sangkrek area, Kokap District, Kulon Progo Regency. The geomagnetic method was employed, with data acquisition conducted at 60 observation points using a Proton Precession Magnetometer (PPM) G-856 at 100-meter intervals. The total magnetic field data were corrected for daily variations and the International Geomagnetic Reference Field (IGRF) to obtain the total magnetic anomaly (ΔT). The magnetic anomaly values range from –3,1 × 10² nT to 6,8 × 10² nT, where high anomalies are dominant in the northern part, composed mainly of andesitic rocks, while low anomalies are found in the western and southern parts, corresponding to the Sentolo and Alluvium Formations. Data processing stages include reduction to the pole (RTP), upward continuation, and two-dimensional (2D) modeling to characterize subsurface magnetic variations. The modeling results indicate that the magnetic susceptibility of rocks varies between 1,0 × 10⁻⁴ and 1,1 × 10⁻¹ SI, with higher values associated with andesite and brecciated andesite, and lower values corresponding to siltstone, claystone, and sandstone. The contrasting distribution of susceptibility along several profiles reveals sharp lithological changes, interpreted as indications of a local fault zone that influences the subsurface magnetic distribution.
Modeling Of Tsunami Flood Maps Along The Malang Coast Using Commit 1.8.1 And Quantum Gis 2.18.28 “Las Palmas” Software: Pemodelan Peta Banjir Tsunami di Sepanjang Pantai Malang Menggunakan Perangkat Lunak Commit 1.8.1 dan Quantum GIS 2.18.28 “Las Palmas” Annur, Rofikoh; Sungkowo, Ari
Sunan Kalijaga Journal of Physics Vol. 7 No. 1 (2025): Sunan Kalijaga Journal of Physics
Publisher : Prodi Fisika Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/physics.v7i1.5640

Abstract

The long coastline of Malang, located in the south of Java Island, is close to the Indian Ocean, which has a subduction zone. This makes Malang Regency a potential tsunami-prone area. Therefore, a tsunami inundation map is needed as a reference for creating a tsunami evacuation map. Tsunami inundation modeling is used to estimate the worst-case tsunami impact. The modeling was conducted using ComMIT (Community Model Interface for Tsunami) 1.8.1 based on an Mw 8.7 earthquake scenario taken from the 2017 Indonesian Earthquake Source and Hazard Center distribution of megathrusts and active faults in the South Java Sea, specifically in the East Java Megathrust zone. The inundation map was created using Quantum GIS 2.18. 28 Las Palmas The tsunami inundation modeling results showed that the inundation distance varied between 0.9 and 1.9 km inland, the tsunami height on the coast varied between 8.41 and 19.63 meters with a maximum run-up of 10 meters, and the tsunami arrival time on the coast was around 30 minutes after the earthquake occurred.

Page 6 of 6 | Total Record : 55

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